Face Detection in an Image Using Python

Face Detection in an Image Using Python

Sangam Petkar, Sejal Kamble

Prof. Pallavi Sambhare

Dept. of Information Technology

G.H. Raisoni College of Engineering, Nagpur.

Abstract:

Face detection is an important task in computer vision that has many real-world applications such as security systems, video surveillance, and facial recognition systems. This paper presents a Python-based approach to detect faces in an image using the OpenCV library. The proposed approach involves pre-processing the image, detecting the face using Haar Cascades, and drawing a rectangle around the detected face. The results obtained from the proposed approach are evaluated and compared with the state-of-the-art methods using different performance metrics. The results show that the proposed approach achieves high accuracy in detecting faces in an image.

Keywords:

face detection, Python, OpenCV, Haar Cascades, image processing, computer vision, security systems, video surveillance, facial recognition systems.